LLM-Stack

LanceDB

LanceDB is an open-source vector database for AI that's designed to store, manage, query and retrieve embeddings on large-scale multi-modal data. The core of LanceDB is written in Rust 🦀 and is built on top of Lance, an open-source columnar data format designed for performant ML workloads and fast random access.

Both the database and the un... See more

dstack is an open-source toolkit and orchestration engine for running GPU workloads. It's designed for development, training, and deployment of gen AI models on any cloud.

Supported providers: AWS, GCP, Azure, Lambda, TensorDock, Vast.ai, and DataCrunch.

Latest news ✨

• [2024/01] dstack 0.14.0: OpenAI-compatible endpoints preview (Release)


• [2023/12] dst

... See more

Portkey's AI Gateway is the interface between your app and hosted LLMs. It streamlines API requests to OpenAI, Anthropic, Mistral, LLama2, Anyscale, Google Gemini and more with a unified API.

✅ Blazing fast (9.9x faster) with a tiny footprint (~45kb installed)

✅ Load balance across multiple models, providers, and keys

✅ Fallbacks make sure your app ... See more

SkyPilot is a framework for running LLMs, AI, and batch jobs on any cloud, offering maximum cost savings, highest GPU availability, and managed execution.

SkyPilot abstracts away cloud infra burdens :

• Launch jobs & clusters on any cloud


• Easy scale-out: queue and run many jobs, automatically managed


• Easy access to object stores (S3, GCS, R2)

SkyPilot... See more

🐂 What is Oxen?

Oxen is a lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.

The interface mirrors git, but shines in many areas that git or git-lfs fall short. Oxen is built from the ground up for data, and is optimized to handle large... See more

Marker

Marker converts PDF, EPUB, and MOBI to markdown. It's 10x faster than nougat, more accurate on most documents, and has low hallucination risk.

• Support for a range of PDF documents (optimized for books and scientific papers)


• Removes headers/footers/other artifacts


• Converts most equations to latex


• Formats code blocks and tables


• Support for multiple

... See more

Introducing Prompts: LLM Monitoring

W&B Prompts – LLM Monitoring provides large language model usage monitoring and diagnostics. Start simply, then customize and evolve your monitoring analytics over time.

Overview

AIConfig saves prompts, models and model parameters as source control friendly configs. This allows you to iterate on prompts and model parameters separately from your application code .

1. Prompts as configs : a standardized JSON format to store generative AI model settings, prompt inputs/outputs, and flexible metadata.


2. Model-agnostic SDK :

... See more